The Theoretical Learning Impact of a Summer Engineering Program Curriculum for Underrepresented Middle School Students

This mixed methods, exploratory and confirmatory study was designed to evaluate the theoretical learning impact of a innovative summer engineering program curriculum would have on its audience, middle school minority students. Several theories were used to develop the innovative curriculum including Human Constructivism, cultural learning styles of African Americans, visual spatial learning and graphic design learning. This study was completed in two phases: evaluation of existing middle school summer engineering program curriculum for best practices and development of innovative curriculum and expert evaluation of the innovative curriculum. Three existing programs from across the country participated in this study. Five engineering education experts evaluated the innovative curriculum. The innovative curriculum is composed of three extensive units that include forces and motion, earth and space science and energy topics. A mixed methods design was used in data collection and analysis to provide a complete view of the theoretical impact of the curriculum. The resulting qualitative and quantitative data indicated the innovative program would enhance its target audience by providing a strong foundation in the fundamental understanding of science and engineering topics and spatial visualization. The qualitative narratives proved that many of the existing programs provide very similar learning environments that do not necessarily include cultural learning, meaningful learning and visual spatial learning. The expert evaluators collectively determined that the innovative program would have a positive and enriching academic impact with the chosen theoretical components. They believed that there was overwhelming evidence (3.7 rating average out of a 4.0) that the theoretical components existed in the curriculum and would provide middle school minority students with the proper knowledge to increase their interest which would inherently increase the science, technology, engineering, and mathematics career pipelines. They also strongly agreed (4.875 rating average out of 5) that the program differed from other program, has relevant learning theories for the target audience exceeded expectations and all the participants of the future program to “see themselves as engineers.

A Consensus on the Definition and Knowledge Base for Computer Graphics

Despite several decades of historical innovation, measurable impacts, and multiple specializations the existing knowledge base for Computer Graphics (CG) lacks consensus, and numerous definitions for it have been published based on distinct contexts. Disagreement among post-secondary academics has divided CG programs into three contextual areas that emphasize different topics. This division has resulted in the decontextualization of CG education, and CG programs now face several challenges in meeting the needs of industry. Employing the Delphi Method, this investigation explored the perceptions among post-secondary educators and industry professionals about the definition of CG and how it is identified in terms of characteristics and context. The outcomes of this investigation identified CG in the technological paradigm, and provided a road map towards a true definition and distinct knowledge base necessary for establishing CG as a formal computing discipline

Making Sense of Document Collections with Map-Based Visualizations

As map-based visualizations of documents become more ubiquitous, there is a greater need for them to support intellectual and creative high-level cognitive activities with collections of non-cartographic materials -- documents. This dissertation concerns the conceptualization of map-based visualizations as tools for sensemaking and collection understanding. As such, map-based visualizations would help people use georeferenced documents to develop understanding, gain insight, discover knowledge, and construct meaning. This dissertation explores the role of graphical representations (such as maps, Kohonen maps, pie charts, and other) and interactions with them for developing map-based visualizations capable of facilitating sensemaking activities such as collection understanding. While graphical representations make document collections more perceptually and cognitively accessible, interactions allow users to adapt representations to users’ contextual needs. By interacting with representations of documents or collections and being able to construct representations of their own, people are better able to make sense of information, comprehend complex structures, and integrate new information into their existing mental models. In sum, representations and interactions may reduce cognitive load and consequently expedite the overall time necessary for completion of sensemaking activities, which typically take much time to accomplish. The dissertation proceeds in three phases. The first phase develops a conceptual framework for translating ontological properties of collections to representations and for supporting visual tasks by means of graphical representations. The second phase concerns the cognitive benefits of interaction. It conceptualizes how interactions can help people during complex sensemaking activities. Although the interactions are explained on the example of a prototype built with Google Maps, they are independent iv of Google Maps and can be applicable to various other technologies. The third phase evaluates the utility, analytical capabilities and usability of the additional representations when users interact with a visualization prototype – VIsual COLlection EXplorer. The findings suggest that additional representations can enhance understanding of map-based visualizations of library collections: specifically, they can allow users to see trends, gaps, and patterns in ontological properties of collections

The effects of 3-dimensional CADD modeling software on the development of the spatial ability of ninth grade technology discovery students

The purpose of this quantitative study was to determine if there is a difference in the development of spatial abilities of ninth grade Technology Discovery students in Mississippi as measured by the Purdue Visualization of Rotations Test. Students experienced one of three differing instructional methods utilizing Pro/Desktop® 3-D CADD solid modeling software. Participants were students in Mississippi schools operating on a 4 x 4 block schedule during either fall or spring semesters during the 2005-2006 school year, and a control group of students whose schools did not offer CADD. Instructional material designed by the researcher was used for two instructional treatment methods, with existing instructional materials available for the software were used in the third instructional method. Demographic information was collected for students from 14 schools in the study. The primary research question asked if differences existed by instructional treatment method when spatial ability pretest scores, gender, ethnicity, co-registration in art, and co-registration in geometry were controlled. Analysis of Covariance was conducted to analyze the data for this research question, using the pretest as the covariate and instructional method as the fixed factor. The dependent variable was the posttest score. The other independent variables of gender, ethnicity, and co-enrollment in art and/or geometry were included in analysis. No affects concerning these additional variables was found. A statistically significant difference existed concerning the method used to instruct students on the use of 3-D CADD modeling software. The instructional consisting of method of teacher-lead instruction using the software in a design lesson, followed by student-directed modular instruction, was found to be effective. These lessons included 3-D physical models manipulated by the teacher and students. The group of students taught using this method had higher mean posttest scores than students instructed with other methods. The other instructional methods did not significantly affect student achievement on the test of spatial ability

INTEGRATED MODELING AND MONITORING FOR A HEALTHY AND SUSTAINABLE BUILDING ENVIRONMENT

The transmission of airborne diseases indoors is a significant challenge to public health. Buildings are hotspots for viral transmission, which can result in adverse effects on human health and quality of life, especially considering that individuals spend approximately 87% of their time indoors. The emergence of the COVID-19 pandemic has highlighted the importance of considering health aspects during the development of sustainable built environments. Consequently, maintaining a healthy, sustainable, and comfortable built environment represents a major challenge for facilities management teams. However, research on the infection risks associated with emerging pandemics is still in its infancy, and the effectiveness of intervention strategies remains uncertain. Furthermore, the complex interplay between health, energy consumption, and human comfort remains poorly understood, impeding the development of comprehensive control strategies that encompass all three critical dimensions of building sustainability. In addition, existing technologies have limitations to conduct real-time monitoring, while current communication methods between occupants and facilities management teams suffer from a lack of effectiveness, user-friendliness, and informativeness. These deficiencies hinder their ability to address the pressing needs of occupants during pandemics. To address these challenges, this dissertation proposes a convergent framework that integrates modeling, simulation, and monitoring methodologies for the development and maintenance of a sustainable built environment. Airborne transmission risks were first modeled and estimated under different epidemic scenarios, allowing for the evaluation of various intervention strategies. Facility data was then used to develop methods for modeling and simulating the dimensions of energy consumption and thermal comfort, allowing for the identification of tradeoff relationships among health, energy, and comfort, and quantitatively analyzing the impact of indoor environments through HVAC control strategies on the three major dimensions. Finally, an integrated platform was developed to enable the real-time assessment of health, energy, and comfort, including monitoring, visualization, and conversational communication functionalities. The developed framework thus encompasses modeling, simulation, monitoring, and communication capabilities and can be widely adopted by facility management teams, providing insights and guidance to governments and policymakers based on their specific needs. The applicability of the framework extends beyond specific pandemics and can be used to address a broader range of infectious diseases

Integrating case based reasoning and geographic information systems in a planing support system: Çeşme Peninsula study

Thesis (Doctoral)--Izmir Institute of Technology, City and Regional Planning, Izmir, 2009Includes bibliographical references (leaves: 110-121)Text in English; Abstract: Turkish and Englishxii, 140 leavesUrban and regional planning is experiencing fundamental changes on the use of of computer-based models in planning practice and education. However, with this increased use, .Geographic Information Systems. (GIS) or .Computer Aided Design.(CAD) alone cannot serve all of the needs of planning. Computational approaches should be modified to deal better with the imperatives of contemporary planning by using artificial intelligence techniques in city planning process.The main aim of this study is to develop an integrated .Planning Support System. (PSS) tool for supporting the planning process. In this research, .Case Based Reasoning. (CBR) .an artificial intelligence technique- and .Geographic Information Systems. (GIS) .geographic analysis, data management and visualization techniqueare used as a major PSS tools to build a .Case Based System. (CBS) for knowledge representation on an operational study. Other targets of the research are to discuss the benefits of CBR method in city planning domain and to demonstrate the feasibility and usefulness of this technique in a PSS. .Çeşme Peninsula. case study which applied under the desired methodology is presented as an experimental and operational stage of the thesis.This dissertation tried to find out whether an integrated model which employing CBR&GIS could support human decision making in a city planning task. While the CBS model met many of predefined goals of the thesis, both advantages and limitations have been realized from findings when applied to the complex domain such as city planning